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ac2018-dl-gpu

Notebooks from AnacondaCON 2018 Deep Learning with GPUs tutorial

achoo

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!

acon18_distribution

Getting Started with the Anaconda Distribution

aequitas

Bias and Fairness Audit Toolkit

compsci-x433.3

dask-tutorial

Dask tutorial

datashader

Turns even the largest data into images, accurately.

db

dbcv

Python implementation of Density-Based Clustering Validation

ds-sf-33_work

Homework for DS-SF-33

duke

duke - Dataset Understanding via Knowledge-base Embeddings

edu

fairness_tutorial

KDD 2020 tutorial on ML Fairness

federated-learning-lib

A library for federated learning (a distributed machine learning process) in an enterprise environment.

interpret

Fit interpretable models. Explain blackbox machine learning.

introscala

kafka_intuit

librosa

Python library for audio and music analysis

mcpt_numba

Code and examples for "Fast Feature Evaluation with MCPT and Numba" talk

mlflow

Open source platform for the machine learning lifecycle

nlp-recipes

Natural Language Processing Best Practices & Examples

scalaintro

sfit

Implementation of SFIT method of feature significance and importance for machine learning models

ucb_ext_intropy4scicomp

Homework and project folder for UCB Extension Introduction to Python for Scientific Computing

ucb_ext_intropy4tf

Homework and project folder for UCB Extension Introduction to TensorFlow